- Build & optimize a high performance data platforms that powering analytics, dashboards , and AI models
- Pioneer team to freeeing Data Scientists & Analysts team from manual engineering
- Salary up to $9,000 + AWS + Bonus
We're hiring Senior Data Engineer to champion automation, scalability, and best practices that accelerate company's data and AI maturity.
Key Responsibilities:
- Design, build, and maintain scalable, end-to-end pipelines for data ingestion, transformation, and delivery.
- Automate ETL/ELT workflows (Airflow, Glu, Step Functions, Prefect) to eliminate manual intervention and improve reliabilty.
- Implement validation, version control, and rollback mechanisms for reliability and traceability.
- Build self-healing, auto-scaling pipelines ensuring near-zero downtime and operational resilience.
- Develop and optimize lakehouse & warehouse architectures using Databricks, Snowflake, Redshift, S3, EMR, Glue, and Lake Formation.
- Integrate monitoring, alerting, and logging (CloudWatch, Prometheus, Grafana) for proactive issue resolution.
- Build data foundations for forecasting, segmentation, retention, and KPI decomposition models.
- Create reusable feature stores, model registies, and tracking frameworks supporting the MLOps lifecycle.
- Enable AI-assisted analytics through natural language query, LLM integration, and automated insights.
- Parter with cross-functional teams to ensure data readiness aligns with business timelines.
Requirements:
- min. Degree in Computer Science, Information Systems, or related field
- min. 6 years & above in data engineering, pipeline design, or infrastructure operations
- Expert in SQL, Python and frameworks such as Spark, Hadoop, dbt, and Airflow
- Strong knowledge of AWS stack such as Redshift, Glue, S3, EMR, Athena, Lambda, Lake Formation
- Familiar with Databricks, Snowflake, and MLOps tools (SageMaker, MLflow, Vertex AI)
- Skilled in data modelling, performance tuning, and cost optimization
If you're ready to take your Java skills to the next level and build real-world AI & data solutions, apply now with your updated resume! By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
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Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781